Trove newspapers¶

Current version: v1.1.1

This repository contains Jupyter notebooks to work with data from Trove's newspapers zone. For more information see the Trove Newspapers section of the GLAM Workbench.

Notebook topics¶

Trove newspapers in context¶

Visualise the total number of newspaper articles in Trove by year and state – explore how Trove's newspaper articles are distributed over time, and by state
Analyse rates of OCR correction – explore patterns in OCR text correction; how many corrections are there and where have they been made?
Finding non-English newspapers in Trove – use automated language detection to identify non-English language newspapers in Trove
Beyond the copyright cliff of death – find newspapers with content published after 1954
Gathering historical data about the addition of newspaper titles to Trove – find when newspaper titles were added to Trove by extracting lists from web archives

Visualising searches¶

QueryPic – simple app to visualise newspaper searches over time, this is the latest version with many new features
QueryPic Deconstructed – an older version of QueryPic that lets you build queries using keywords, states, or newspapers
Visualise Trove newspaper searches over time – use facets to slice up newspaper search results and visualise over time
Map Trove newspaper results by state – create a choropleth map to visualise search results by state
Map Trove newspaper results by place of publication – links newspapers to their place of publication and maps the results
Map Trove newspaper results by place of publication over time – adds a time dimension to the example above

Useful tools¶

Save a Trove newspaper article as an image – grabs the page on which an article was published, and then crops the page image to the boundaries of the article to create a complete, intact image of the article as it was originally published
Download a page image – a simple app that lets you download page images as complete, high-resolution JPG files
Generate an article thumbnail – generate a nice square thumbnail image for a newspaper article
Upload Trove newspaper articles to Omeka-S – steps through the process of uploading Trove newspaper articles to your own Omeka-S instance via the API
Harvest Australian Women's Weekly covers (or the front pages of any newspaper) – harvest the front pages of any newspaper, including covers from the Australian Women's Weekly

Tips and tricks¶

Today’s news yesterday – uses the date index and the firstpageseq parameter to find articles from exactly 100 years ago that were published on the front page
Create a Trove OCR corrections ticker – uses the has:corrections parameter to get the total number of newspaper articles with OCR corrections
Get a list of Trove newspapers that doesn't include government gazettes – workaround for a problem with the newspaper/titles endpoint of the API
Get the page coordinates of a digitised newspaper article from Trove – demonstrates how to find the coordinates of a newspaper article on a digitised page

Get creative¶

Make composite images from lots of Trove newspaper thumbnails – creates thumbnails from a search and compiles them into a mega image
Create 'scissors and paste' messages from Trove newspaper articles – snip words out of page images and compile them into the message of your choice
Create large composite images from snipped words – harvest multiple versions of a list of words and compile them all into one big image

See the GLAM Workbench for more details.

Data files¶

CSV formatted lists of newspaper titles in Trove
- trove_newspaper_titles_2009_2021.csv – complete dataset of captures and titles
- trove_newspaper_titles_first_appearance_2009_2021.csv – filtered dataset, showing only the first appearance of each title / place / date range combination
- There is also an alphabetical list of newspaper titles, showing approximately when they first appeared in Trove.
CSV formatted list of Australian Women's Weekly issues, 1933 to 1982
Australian Women's Weekly front covers, 1933 to 1982 (2,566 images on Cloudstor)

For easy browsing, I've compiled the images into a set of PDF files, one for each decade, available from Dropbox: